Studying the influence of a secondary variable in Collocated Cokriging estimates

Autor(es)

Rocha, Marcelo M. ^[1] ; Yamamoto, Jorge K. ^[1] ; Watanabe, Jorge ^[2] ; Fonseca, Priscilla P. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Geociencias, BR-05508080 Sao Paulo - Brazil

^[2] Vale, Gerencia Area Planejainento Longo Prazo, Dept Ferrosos Sul, BR-34000000 Nova Lima, MG - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Anais da Academia Brasileira de Ciências; v. 84, n. 2, p. 335-346, JUN 2012.
• Citações Web of Science: 2

Resumo

In this paper the influence of a secondary variable as a function of the correlation with the primary variable for collocated cokriging is examined. For this study five exhaustive data sets were generated in computer, from which samples with 60 and 104 data points were drawn using the stratified random sampling method. These exhaustive data sets were generated departing from a pair of primary and secondary variables showing a good correlation. Then successive sets were generated by adding an amount of white noise in such a way that the correlation gets poorer. Using these samples, it was possible to find out how primary and secondary information is used to estimate an unsampled location according to the correlation level. (AU)

• Processo FAPESP: 03/10367-7 - Simulacao estocastica de caracteristicas faciologicas e petrofisicas de um reservatorio de petroleo.
• Beneficiário: Jorge Watanabe
• Modalidade de apoio: Bolsas no Brasil - Mestrado